4 of 4 Computer Vision Jobs in East Sussex

development and technology roadmaps Utilise modern software engineering tools including AI-assisted development environments Required Experience: Graduate/Junior Software Engineer Degree qualified in Computer Science, Software Engineering or similar 1-2 years of commercial experience developing software in C and C++ or perhaps a graduate with evidence … from multiple disciplines Experience using source control tools such as Git Desirable Experience: Experience in some of the following areas would be advantageous: Machine Vision, Computer Vision, OpenCV, Image Processing, Imaging Systems Scientific Instrumentation, Robotics, Autonomous Systems, Sensor Systems Embedded Software, High-Speed Data Acquisition. Distributed Systems ...

performance and suggest improvements. Keep up with advancements in AI/ML to contribute fresh ideas to the team. Skills and Experience: Degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Proficiency in Python and key libraries such as NumPy, Pandas, scikit-learn, TensorFlow or PyTorch. … techniques. Strong analytical and communication skills. Comfortable working in a collaborative environment and taking feedback. Desirable: MSc in a relevant discipline. Exposure to NLP, computer vision, or recommendation systems. Familiarity with cloud services (AWS, GCP, or Azure). Experience with Git and modern development practices. Interest in deploying ...

that have a positive impact. You’re an experienced product leader with a background in security, identity (IAM), or enterprise SaaS. You combine strategic vision with operational rigour, and you’re motivated by delivering usable, secure, and elegant solutions to complex technical problems. Proven experience in a senior MLOps … hands-on technical work Strong communication skills and the ability to work effectively across engineering, product and data teams Nice-to-haves Experience supporting computer vision, deep learning, LLM or other compute-intensive ML workloads Experience with GPU infrastructure, distributed training or high-performance compute environments Familiarity with ...

developing a collaborative data and analytics platform. The work involves cutting-edge challenges; real-time event handling, secure data ingestion, working with LLMs and Computer Vision models, and crafting high-performance indexing and search pipelines. It’s a great environment for engineers who want to work across ...